This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based

After v. 1, each volume's t.p. names a different panel at the beginning of its author statement.

This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural

Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, eve